Convex nonnegative matrix factorization with missing data.
Ronan HamonValentin EmiyaCédric FévottePublished in: MLSP (2016)
Keyphrases
- missing data
- nonnegative matrix factorization
- matrix factorization
- low rank
- missing values
- negative matrix factorization
- convex optimization
- incomplete data
- data matrix
- least squares
- data representation
- principal component analysis
- computer vision
- low rank matrix
- tensor factorization
- spectral clustering
- databases
- original data
- document clustering
- semi supervised
- probabilistic model
- optical flow
- training data
- convex formulation